TOWARDS A COMPREHENSIVE CATEGORISATION OF CORPORATE INCUBATORS: EVIDENCE FROM CLUSTER ANALYSIS

Tobias Kruft and Alexander Kock ()
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Tobias Kruft: Technische Universität Darmstadt, Hochschulstr. 1, 64289 Darmstadt, Germany
Alexander Kock: Technische Universität Darmstadt, Hochschulstr. 1, 64289 Darmstadt, Germany

International Journal of Innovation Management (ijim), 2019, vol. 23, issue 08, 1-28

Abstract: Established companies are increasingly challenged to expand their innovation development capabilities and to align them to increasingly ambidextrous requirements. A currently popular way for companies to meet these requirements is corporate incubators. Successfully designing such units imposes specific challenges on companies, which results in large numbers of different corporate incubator types spanning a wide range of activities. This group of very different incubation concepts is not only very difficult to manage from a practical perspective, it is also complex to reliably explore from a research perspective. In this study, we therefore examine how incubators can be comprehensively categorised and how different objectives and strategies relate to corporate incubator performance. Results from cluster and regression analysis of a sample of incubators from 14 different industries reveal 16 clusters dependent on five objective and five strategy criteria. The criteria have a diverse relation to performance which can be explained using transactional distance theory.

Keywords: Corporate incubator; categorisation; success; performance; cluster analysis; open innovation; ambidexterity; transactional distance theory (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1142/S1363919619400024

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